TorchBeast: A PyTorch Platform for Distributed RL

TorchBeast: A PyTorch Platform for Distributed RL

8 October 2019

Heinrich Küttler

Nantas Nardelli

Marco Selvatici

Tim Rocktaschel

Edward Grefenstette

Papers citing "TorchBeast: A PyTorch Platform for Distributed RL"

18 / 18 papers shown

Title
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 63 1 0 21 Aug 2024
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO Yangkun Chen Joseph Suárez Junjie Zhang Chenghui Yu Bo Wu ... Sharada Mohanty Jiaxin Chen Xiu Li Xiaolong Zhu Phillip Isola 32 0 0 30 Aug 2023
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 33 13 0 01 Dec 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 35 40 0 11 Oct 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 36 5 0 21 Sep 2022
Insights From the NeurIPS 2021 NetHack Challenge Eric Hambro Sharada Mohanty Dmitrii Babaev Mi-Ra Byeon Dipam Chakraborty ... Dan Rothermel Mikayel Samvelyan Dmitry Sorokin Maciej Sypetkowski Michal Sypetkowski 23 19 0 22 Mar 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 53 172 0 10 Jan 2022
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 44 50 0 25 Nov 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 36 38 0 19 Oct 2021
Feudal Reinforcement Learning by Reading Manuals Kai Wang Zhonghao Wang Mo Yu Humphrey Shi OffRL 45 0 0 13 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 33 57 0 11 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 25 117 0 11 Jun 2021
Large Batch Simulation for Deep Reinforcement Learning Brennan Shacklett Erik Wijmans Aleksei Petrenko Manolis Savva Dhruv Batra V. Koltun Kayvon Fatahalian 3DV OffRL AI4CE 29 26 0 12 Mar 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions V. Sivakumar Olivier Delalleau Tim Rocktaschel Alexander H. Miller Heinrich Küttler Nantas Nardelli Michael G. Rabbat Joelle Pineau Sebastian Riedel 18 36 0 09 Oct 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 134 596 0 28 Feb 2017